Mahendra Gooroochurn

Loughborough University, University of Mauritius, University of Technology, Mauritius

Papers

Total Citations

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About

Mahendra Gooroochurn is a researcher whose work spans surgical robotics, industrial automation, and applied machine learning, with a particular focus on the integration of intelligent systems across engineering domains. His most influential contribution, a 2009 paper on the methodology for design and appraisal of surgical robotic systems, garnered 31 citations and established a structured framework for evaluating surgical robotics — addressing the critical need for systematic approaches amid rapid growth in the field. This foundational work demonstrated his early commitment to rigorous, principled engineering design in high-stakes medical environments. More recently, Gooroochurn has turned his attention to Industry 4.0 transformation, exploring how robotics, automation, wireless sensor networks, and cloud computing can drive productivity and economic development. Notably, his 2024 work examines these themes within the context of Mauritius, connecting technological advancement to the United Nations' Sustainable Development Goals. He has also contributed to machine learning applications for fluid flow characterization, showcasing his interdisciplinary reach. Across his portfolio, Gooroochurn emerges as a researcher bridging theoretical frameworks and real-world engineering challenges, with growing relevance to both developing economies and advanced manufacturing ecosystems.